The Division of Software and Computer Systems (SCS) is part of the School of Electrical Engineering and Computer Science. We are in the Department of Computer Science (CS).
Research areas
Data Science
Research on conformal prediction, machine learning, computational epidemiology, information network analytics and multi-agent systems.
Research on algorithms and systems for data analysis, machine learning and data mining. We work in healthcare, drug development, climate research, vehicle maintenance and social networking.
Our main research focus is making it easy to develop and manage key societal Network Systems that meet their objectives. Classic examples include: high performance, high reliability, and low-power.
Making data accessible - despite server and network issues
A software developed by KTH has enabled cloud services to be easier to build and more resilient to failures.
“I wanted to make fault-tolerant systems easy to build and use, contrary to what is ofte...
A new graph database management system is under development at KTH. Using graph technology in combination with artificial intelligence (AI), the system could assist in planning everything from healthc...
Research in Artificial Intelligence was in focus when researchers and partners from Saab and Ericsson gathered for two days at CASTOR Software Days to discuss the research in the field.
A. Samy, Z. T. Kefato and S. Girdzijauskas, "Data-Driven Self-Supervised Graph Representation Learning," in ECAI 2023 : 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings, 2023, pp. 629-636.
The goal of the division SCS is to continue strong research and education on fundamental aspects of software technology and computer systems, central areas within Computer Science. We have a focus on cloud computing, networked systems, security in networked systems, social networks, time aware systems, data science, and applied AI as well as Software Engineering.
Visit us
Address: Electrum 229, 164 40 KISTA Head of Division:
